Three paths to AI. Only one where you're still in charge when the next model arrives.
Most companies choose based on what works fastest right now. But the foundation you lay today is the one you'll live with when the models change, the rules tighten, and the vendors consolidate. Here are the three most common paths to AI - and why we build a fourth.
How you handle data is no longer a technical detail. It's a leadership decision.
For years, companies have outsourced critical insight to external platforms. It was easy. Convenient. And for a while, it worked.
Today the landscape has changed. Regulation has tightened. Vendors have consolidated. Geopolitics has entered the equation. And the longer you wait to choose your own foundation, the fewer of the three paths below stay open to you.
118 SaaS apps in the average company
Up from 106 the year before - ending two years of consolidation. Every tool keeps its own data in its own format, so every new app means your data lives in one more place.
68% of the data available to businesses never gets used
Not because it's worthless - but because it's scattered and unstructured across systems where no one can bring it together.
That's not just a problem. It's your biggest untapped resource. Brought together in one place, with AI on top, that data becomes decisions you can act on today.
How most companies solve it today
We talk to companies facing exactly this choice. Most end up in one of three places - and pay the price for it later, not now.
Data stays where it is
No change always feels cheapest right now. But your data spreads across more systems with every month that passes - and the more you build on top of it, the more expensive it gets to consolidate later.
One vendor, all the way in
94% of IT leaders today fear vendor lock-in as a consequence of their AI strategy (Parallels, 2026). With good reason: most suites are built tightly around one specific AI model under the hood - and "best" changes faster than the contract runs. In two years, OpenAI's share of enterprise LLM spend has fallen from 50% to 27%, while Anthropic has gone from 12% to 40% (Menlo Ventures, 2025). If the suite bet on the wrong model, you're the one stuck with it.
Internal project or a consultancy
Gartner expects more than 40% of agentic AI projects to be scrapped by 2027, and MIT NANDA finds that 95% of generative AI pilots never reach the bottom line. Not because the models are bad - but because there was no foundation to build on.
All three paths share the same weakness: they bet that one vendor, one suite or one model stays best - in a world moving so fast that the bet rarely holds for more than a few months. That's why we work composable and best-of-breed. The one thing you always own is your data, consolidated in your own data lake. Everything around it - the model, the tool, the suite - should be easy to swap out, because what's best today can be far behind in three months.
The foundation is built to survive your next vendor switch
Not because we're ideological about ownership. Because composable and best-of-breed is the only construction that holds, whichever model or regulation comes next quarter.
Switch AI models without moving data
The foundation and the AI layer are deliberately separate. Switch models tomorrow, without rebuilding the data layer today.
No rip-and-replace
New regulation or a new best-in-class model doesn't mean rebuilding from scratch.
Independent of one cloud's pricing
No surprises when a vendor changes API prices or terms mid-engagement.
Data that follows you
The format is yours, not the vendor's - so you can take everything with you the day you switch.
Several AI models at once
Run multiple models side by side, instead of betting everything on one vendor's best bet.
EU-anchored from day one
No third-country transfers to explain when the rules tighten - see how, right below.
Infrastructure governed by European law. No hidden transfers. No fine print.
It's not just compliance. It's the edge: the less time you spend defending your data, the more time you have to use it.
Digital sovereignty is no longer optional. But here's what few people say out loud: it's also what makes you faster than competitors who first have to clean up before they can use their data.
What customers say
„Usernest has been an invaluable partner in our work to consolidate data and make it both accessible and actionable across the organization. This gives us a much deeper understanding of our members and their journeys. What sets Usernest apart is their ability to bridge the gap between business and IT.“
„With Usernest, we didn’t just get a vendor – we gained a strategic partner who truly understands how to integrate business and technology. They transform strategy into tangible, data-driven solutions and deliver with impressive quality and speed.“
„In our collaboration with Usernest, we have consistently experienced a high level of technical expertise in both advisory and execution. What truly sets Usernest apart is the solid business understanding they bring as a foundation for the technological solutions – ensuring we quickly arrive at real, scalable solutions for real business needs.“
„Usernest is the pragmatic partner for e-commerce businesses looking to get their data setup right. Their insights into composable architecture and strategic guidance show the way forward based on deep understanding of the key data use cases.“
„We run Core with Usernest as our operating partner via Operate - they manage the stack, but we stay in control of our own data the whole way through. On top of that, we use Tell to flag customers at risk of churning before they tell us themselves, so we’re ahead of it instead of reacting to it.“
Want the full playbook with numbers, sources and a step-by-step guide to building a foundation you own? Get it free by email.
Ready to own your data - and your future?
Let's talk about where control, clarity or security are missing today.